面向学习者蓬勃发展的（生成式）人工智能设计之解放愿景
An emancipatory vision for designing (generative) AI for learner flourishing
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中文总结 AI 辅助
本文提出一种面向学习者蓬勃发展的解放性教育生成式AI设计愿景，包含初步设计原则与整体方法论，以应对依赖与孤立风险。
中文摘要 AI 辅助
围绕生成式人工智能的炒作似乎预示着前所未有的生产力（和学习）提升。然而，这些技术日益增强的智能体特性似乎将学习者推向个人主义（或个人孤立）、过度依赖和对其的依赖性。以人为中心的设计方法（例如，价值敏感设计）假设，通过揭示人类的需求、偏好和价值观，技术研究人员/设计者可以避免这些由更广泛的系统性因素（如经济激励或人类固有的局限性，例如我们倾向于在当下寻求最容易的行动路径）所驱动的危险。然而，迄今为止，这些努力似乎不足以指导我们设计能够避免上述依赖和孤立危险，同时获得广泛采用的教育技术。本文提出了一种替代性的、更具解放性的未来教育人工智能技术愿景，该愿景以学习者的蓬勃发展为导向，同时考虑他们所栖息的更广泛的复杂系统，包括初步的设计原则和整体设计方法论。然而，在实现这一愿景之前，仍有许多开放性问题有待解决。
英文摘要
The hype around generative AI seems to promise unprecedented productivity (and learning) gains. However, these technologies' increasing agentic features seem to push learners towards individualism (or individual isolation), over-reliance, and dependence on them. Human-centered design approaches (e.g., value-sensitive design) assume that, by unearthing human needs, preferences, and values, technology researchers/designers may avoid such dangers, which are driven by wider systemic factors like economic incentives or inherent human limitations (e.g., our tendency to seek, in the moment, the easiest path of action). Yet, so far these efforts seem insufficient to guide our design of educational technology that avoids the aforementioned dependency and isolation dangers, while finding widespread adoption. This paper presents an alternative, more emancipatory vision for future educational AI technology, oriented towards learner flourishing while considering the wider complex systems they inhabit, including tentative design principles and an overall design methodology. Yet, many open questions remain before this vision can be realized.
发表机构
- Universidad de Valladolid（巴利亚多利德大学）
机构由 AI 辅助整理，请以论文原文为准。
